Studying the Mechanisms of Improving Handover Decision and the Adaptive Adjustment of its Control Parameters in 5G Wireless Networks

Authors

  • Lama Douba Tishreen University
  • Ahmad Saker Ahmad Tishreen University
  • Ahmad Mahmoud Ahmad Tishreen University

Abstract

Handover process is one of the most important aspects of mobility management in 5G wireless networks. It becomes a hot topic for researchers because it constitutes a guarantee of communication continuity during the user's movement, in addition to being the basic step on which the mobility load balancing process depends to distribute the load between the cells.     

The focus on this process is whether by providing solutions to improve the handover decision-making, or by modifying the values of the handover control parameters in a way that it guarantees the reduction of handover problems, because the inaccurate or unnecessary modification of these parameters values will cause a degradation in the quality of service. This paper presents a study targeting two mechanisms to improve handover decision-making and selection of handover control parameters adaptively based on different schemes. The first one, based on a learning model called LIM2 and the second one is based on fuzzy logic and is called RHOT-FLC.

The results show that the RHOT-FLC mechanism, which relies on fuzzy logic and takes into account the user's velocity provides better performance in term of average throughput, packet drop rate, average HOPP probability, average HO latency, HO failure.

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Published

2023-09-07

How to Cite

1.
دوبا ل, أحمد صقر أحمد, أحمد محمود أحمد. Studying the Mechanisms of Improving Handover Decision and the Adaptive Adjustment of its Control Parameters in 5G Wireless Networks. Tuj-eng [Internet]. 2023Sep.7 [cited 2024May2];45(4):143-57. Available from: https://journal.tishreen.edu.sy/index.php/engscnc/article/view/14873

Issue

Vol. 45 No. 4 (2023): Tishreen University Journal of Research and Scientific Studies - Engineering Sciences Series

Section

Articles

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